Data Science (MSc)

The data science msc provides advanced technical and practical skills in the collection, collation, curation and analysis of data. This is an ideal study pathway for graduates with a background in quantitative subjects, or who possess relevant work experience, who want to gain experience in current methods and techniques of data science. 

Your degree offers a range of knowledge, attributes, skills and experiences that are valuable for your future.

Key benefits

• 6th in the UK for Computer Science (QS World Rankings 2024)
• The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
• You'll interact with world-class experts in many exciting areas of Computer Science, including Algorithms and Data Analysis, Cybersecurity, Human-Centred Computing and Software Systems.
• You'll study a wide-range of innovative modules, covering both the theory and practice of modern Computer Science.
• Friendly and supportive learning environment, with students from across the globe.

Course Essentials

• You will gain an in-depth understanding of the general principles of the computational and statistical approaches and methods used in data science, as well as their underlying assumptions and limitations.
• We will use a delivery method that will ensure students have a rich, exciting experience from the start. Face-to-face teaching will be complemented and supported with innovative technology so that students also experience elements of digital learning and assessment.
• The course is taught at the Strand and Waterloo Campuses. This puts you in the heart of London with access to all its academic resources and within easy reach of the social and entertainment attractions of one of the world’s most cosmopolitan cities. The Department of Informatics is based in Bush House, Strand Campus.

Teaching methods - what to expect

• Lectures
• Seminars
• Group Tutorials
• Independent Study

We often use lectures, seminars, and group tutorials to deliver most of the modules on the course. We use a flipped classroom approach that creates opportunities for active learning engagement and interaction with world-class experts.

You will also be expected to undertake a significant amount of independent study.

Typically, one credit equates to 10 hours of work, e.g. 150 hours work for a 15-credit module. These hours cover every aspect of the module, including independent study.

Assessment

• Coursework
• Written/Practical Examinations
• Oral Presentations
• In-Class Tests
• Online Examinations
• Individual Project Dissertation

Your performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include written and computer-based exams, coursework, oral presentations, in-class tests, and an individual project dissertation.

Employability

• The Careers Service offer tailored sessions for Informatics students and a careers programme which includes skills sessions and visits from top employers.
• Our graduates have gone on to have successful careers in IT companies and the IT departments of large institutions (private and public sector).
• Other graduates have entered into the field of academic and industrial research.
• Destinations

Recent graduates have found employment within the following job roles and companies:

• Data Scientist, Casai
• Senior Associate, PwC
• Data Analyst, AgFlow SA
• Data Engineer, MTR Corporation
• Senior Data Scientist, Deloitte
• Analytics and Insights, Proctor & Gamble
• Data Analyst, HM Revenue & Customs